Junichi Tokuda1, Kemal Tuncali1, Gang Li2, Nirav Patel2, Tamas Heffter3, Gregory S Fischer2, Iulian I Iordachita4, Everette Clif Burdette 3, Nobuhiko Hata1, and Clare M Tempany1
1Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, United States, 3Acoustic MedSystems Inc., Savoy, IL, United States, 4Department Of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States
Synopsis
We present the clinical feasibility of our MRI-compatible 4-DOF
needle-guide manipulator for in-bore MRI-guided transperineal prostate biopsy. Total
11 men were biopsied in a 3T MRI scanner using this manipulator. All 11 procedures
were successfully performed in 102.6±24.5 minutes with targeting errors of 4.9±2.9 mm. The targeting errors were consistent with other clinical studies. Pathology results confirmed prostate
cancer with Gleason score ≥ 6 in 5/6 men with previous negative TRUS biopsies,
and upgraded 2/5 men on active surveillance to clinically significant cancer
with Gleason score 7. In conclusion, In-bore MRI-guided prostate biopsy using
the manipulator was feasible.Purpose
Magnetic resonance imaging (MRI)-guided biopsy has emerged
as an alternative to transrectal ultrasound (TRUS)-guided biopsy due to its
ability to specifically target abnormal regions [1]. Several groups have developed
MRI-compatible robotic devices to guide a biopsy needle accurately in an MRI [2-3].
These reports have been transrectal or transgluteal approaches and required moving
the patient repeatedly in and out of the bore for imaging and needle insertion.
We have reported the result of research and development of a robotic needle-guide
device for in-bore transperineal biopsy [4]. The device is equipped with a 4-DOF
manipulator that can position and orient a passive needle-guide or active
needle insertion driver inside the bore. We present the initial results and the
clinical feasibility of this manipulator using the passive needle-guide.
Methods
Subjects. The
study was approved by the IRB. Total 13 men were enrolled including six men with
prior negative TRUS biopsy and elevated prostate-specific antigen, six men on
active surveillance (AS) for low-risk prostate cancer, and three men who were
not candidates for TRUS-guided biopsy. Two men were excluded from evaluation as
they had systematic non-target biopsy procedures.
Clinical Workflow. All
procedures were performed in a 3T 70cm-bore MRI scanner (Siemens Verio) in the
lithotomy position. The manipulator was composed of front and rear 2-DOF trapezoidal
stages driven by piezoelectric actuators (Fig. 1). In this feasibility study,
we kept the needle trajectory parallel to the B0 field to simplify
the planning and robot control. [Patient
setup] A stabilizing frame was fixed on the tabletop (Fig. 2A). After
covering the manipulator with a sterile drape, a sterile needle-guide was
attached to stage. The manipulator was then docked on the tabletop (Fig. 2B). [Planning] Images of markers embedded
in the frame and the prostate (planning
images) were acquired. Navigation software (RadVision, Acoustic MedSystems)
registered the robot to the image coordinate system by detecting the markers. Biopsy
targets were defined on preprocedural multiparametric MRI by a single reader, mapped
onto the planning images using non-rigid image registration in 3D Slicer
software (https://www.slicer.org/), and imported to RadVision. [Needle placement] Once the needle-guide
reached the designated location, the physician inserted an 18-gauge MRI-compatible
core biopsy gun (Fully Automatic Biopsy Gun, InVivo Corporation) (Fig. 2C). [Needle adjustment and sampling] Images
of the prostate with the needle were acquired (confirmation images). If the image revealed that the needle was not
within the target lesion, reinsertion and reorientation was performed. Once the
needle was confirmed to be in the target, the core biopsy sample was obtained. The
total procedure time was recorded along with times for setup, planning, and
biopsy (including needle placement, adjustment, and sampling).
Data Analysis. After
reconstructing the needle trajectory on each confirmation image, the shortest
distance from the planned target to the trajectory was computed as an accuracy metric.
This metric has been used in previous clinical studies [2,6]. The distances were
evaluated for first and best needle insertion attempts, where the best
insertion was the attempt resulted in actual tissue sampling. The first
insertion represents an accuracy achieved solely by the needle-guide, whereas the
best insertion represents a realistic accuracy for sampling achieved by the aforementioned
adjustment techniques.
Results
All 11 biopsy procedures were successfully performed with an
average of 1.8 targets per case. There were average 1.8 reinsertion attempts per
target before taking the biopsy cores. The total time was 102.6±24.5 minutes (Table
1). The mean and standard deviation of targeting errors for the first and best
attempts were 6.0±3.4 and 4.9±2.9 mm respectively. Pathology results confirmed
prostate cancer in 10 men, with Gleason score ≥ 6 in five out of six men with previous
negative biopsy, and five out of five men on AS. Two AS patients were upgraded
to clinically significant cancers with Gleason score 7.
Discussion and Conclusion
In-bore MRI-guided prostate biopsy using the newly developed
manipulator was feasible. The targeting errors were consistent with other
clinical studies on MRI-guided biopsies ranging 5.7-10 mm [2,5,6]. The procedure
times were shorter than our previous study on manual and robotic needle-guide
template [6], but longer than the study on transrectal robotic biopsy with similar
number of targets largely due to the long planning time in our study (25.6 minutes);
this was in part related to a separate research study on intraprocedural prostate
image registration. In this study, we did not take advantage of the full 4-DOF needle
angulation capability to limit the complexity of the procedure. The 4-DOF
placement would offer more options for trajectories, and thus it could
potentially reduce the number of attempts.
Acknowledgements
This work was supported by National Institutes of Health (R01
CA111288, R01EB020667, and P41EB015898).References
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